Design, develop, evaluate and deploy machine learning models and generative AI solutions
Adapt, extend and productionize models developed for local use cases in Canada
Work closely with data engineering to design and optimize ML-ready datasets and feature pipelines on Databricks
Proactively identify and propose high-value ML and GenAI use cases relevant to Zurich Canada
Own the full lifecycle of initiatives: from discovery and experimentation through to production deployment

Requirements

6+ years of experience in data science, applied machine learning or AI product development
Proven experience deploying ML models to production
Strong proficiency in Python and SQL
Hands-on experience with Databricks for data processing and ML workloads
Solid understanding of feature engineering, model evaluation and ML lifecycle management
Ability to operate effectively in a platform-oriented, engineering-driven environment
Excellent communication skills and experience managing stakeholder partnerships
Self-starter mentality, comfortable working in a hybrid, fast-paced and AI-first environment

Benefits

Comprehensive health and benefits plan
Minimum of four weeks’ vacation per year
Four personal days per year to use at your discretion
Access to a full range of training and development opportunities

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learninggenerative AIPythonSQLfeature engineeringmodel evaluationML lifecycle managementdata scienceapplied machine learningAI product development

Soft Skills

communication skillsstakeholder managementself-starter mentalityadaptabilityproblem-solvingcollaborationinitiativeorganizational skillsproactive identificationeffective operation